Progress in Automatic Signature Verification
This volume highlights some of the multidisciplinary aspects of automatic signature verification. The first two chapters serve as an introduction. The first constitutes a review of the literature of the past five years. The second addresses the problem of parallel strategies to construct and optimize feature vectors to describe a signature. The remaining six chapters are divided into two sections: research on static systems and research on dynamic systems. The section on off-line systems describes a system, based on cooperative neural networks for the automatic processing of signatures on checks, for background removal as well as a model-based system that segments the signature into elements which are then processed locally and globally to evaluate the similarity between two specimens. The three papers on on-line systems compare three verification methods, based on statistical models of signature features using the same benchmark, describe a step-wise verification method based on the analysis of the signature components and describe the different design phases of an operational system, focusing on the various decisions that have to be made throughout the development of such a prototype.
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An Evaluation of Parallel Strategies for Feature Vector Construction
A Static Signature Verification System Based on a Cooperating
OffLine Verification of Japanese Signatures After Elimination
Structural Interpretation of Handwritten Signature Images
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active feature vector algorithm Ammar analysis authentic signatures automatic signature verification background pattern centroid classify cluster computer vision Conf criterion function curve database defined dynamic signature verification Ecole Polytechnique elimination error rate Euclidean Euclidean distance evaluation false rejection rate feature selection Forged forgeries fundamental components genuine signatures global gradient graphic tablet handwriting Handwriting Recognition handwritten signature images Heuristic Evaluation input Lorette Mahalanobis distance merging method Montreal neural networks node obtained off-line on-line signature verification Pattern Recognition performance phase pipeline pixels Plamondon preprocessing primitive set Pr Proc procedure processors reference signatures representation Sabourin samples segmentation shown in Fig signal signatory signature verification system Signer Genuine solution path space graph st.dev static signature verification statistical subcluster Table task technique test primitive set threshold transputer traveler's cheque Type II Error University of Bari velocity Yoshimura